
from pathlib import Path

import numpy as np
from PIL import Image







def 							A__       (    lowerCamelCase    )	->						np.ndarray:
				UpperCamelCase_, UpperCamelCase_, UpperCamelCase_:				Optional[Any]						=    rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
				return 0.2989 * r + 0.5870 * g + 0.1140 * b







def 							A__       (    lowerCamelCase    )	->						np.ndarray:
				return (gray > 1_27) & (gray <= 2_55)







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						np.ndarray:
				UpperCamelCase_:				List[str]						=    np.zeros_like(lowerCamelCase    )
				UpperCamelCase_:				Any						=    np.zeros(
				    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)    )

				# Copy image to padded image
				UpperCamelCase_:				List[Any]						=    image

				# Iterate over image & apply kernel
				for x in range(image.shape[1]    ):
								for y in range(image.shape[0]    ):
												UpperCamelCase_:				Optional[int]						=    (
												    kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
												).sum()
												UpperCamelCase_:				int						=    int(summation > 0    )
				return output


if __name__ == "__main__":
							# read original image
							lowerCamelCase_    :			Union[str, Any]    =	Path(__file__).resolve().parent / """image_data""" / """lena.jpg"""
							lowerCamelCase_    :			List[str]    =	np.array(Image.open(lena_path))
							# kernel to be applied
							lowerCamelCase_    :			int    =	np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
							lowerCamelCase_    :			Union[str, Any]    =	dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
							# Save the output image
							lowerCamelCase_    :			Any    =	Image.fromarray(output).convert("""RGB""")
							pil_img.save("""result_dilation.png""")








lowerCamelCase_    :			Tuple    =	{
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
lowerCamelCase_    :			Union[str, Any]    =	{
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 12,
    """Pm""": 15,
    """Em""": 18,
    """Zm""": 21,
    """Ym""": 24,
}







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						float:
				UpperCamelCase_:				Any						=    from_type.lower().strip("""s"""    )
				UpperCamelCase_:				int						=    to_type.lower().strip("""s"""    )

				UpperCamelCase_:				Any						=    UNIT_SYMBOL.get(lowerCamelCase  ,     lowerCamelCase    )
				UpperCamelCase_:				str						=    UNIT_SYMBOL.get(lowerCamelCase  ,     lowerCamelCase    )

				if from_sanitized not in METRIC_CONVERSION:
								UpperCamelCase_:				Optional[int]						=    (
								    F'''Invalid \'from_type\' value: {from_type!r}.\n'''
								    F'''Conversion abbreviations are: {", ".join(lowerCamelCase    )}'''
								)
								raise ValueError(lowerCamelCase    )
				if to_sanitized not in METRIC_CONVERSION:
								UpperCamelCase_:				Dict						=    (
								    F'''Invalid \'to_type\' value: {to_type!r}.\n'''
								    F'''Conversion abbreviations are: {", ".join(lowerCamelCase    )}'''
								)
								raise ValueError(lowerCamelCase    )
				UpperCamelCase_:				Union[str, Any]						=    METRIC_CONVERSION[from_sanitized]
				UpperCamelCase_:				str						=    METRIC_CONVERSION[to_sanitized]
				UpperCamelCase_:				Tuple						=    1

				if from_exponent > to_exponent:
								UpperCamelCase_:				Union[str, Any]						=    from_exponent - to_exponent
				else:
								UpperCamelCase_:				Dict						=    -(to_exponent - from_exponent)

				return value * pow(10  ,     lowerCamelCase    )


if __name__ == "__main__":
							from doctest import testmod

							testmod()






